论文标题

持有材料的定量和三维评估

Quantitative and Three-Dimensional Assessment of Holdup Material

论文作者

Rebei, N., Fang, M., Di Fulvio, A.

论文摘要

加工设施的设备,传输线和通风系统中沉积的核材料通常称为持有。在这项工作中,我们建议将一系列检测器共同与检查管道进行测量。该方法可实施到能够在各种曲线的表面和管道上爬行的自动化系统,这将使更快,更容易,更准确的固定保障措施测量。我们首先证明当前的持有测定程序可能会导致特殊核材料质量估计中的不可忽略的偏差,这是由于简化了由广义几何持有(GGH)模型引入的沉积几何形状的假设。新方法包括通过表征检测器阵列的响应并将其从测得的光输出中展开来成像内部固定材料。我们的原理证明由三个NAI(TL)检测器组成,该检测器围绕着包含两个颅骨137(137C)源的铝管。我们通过使用一种适应包含测得的固定材料的物体的表面几何形状来计算检测器响应矩阵,从而得出了管道内部的源分布。创建一个检测器阵列测得的计数的矩阵,然后我们继续解决一个反问题,从而在响应矩阵的空间分辨率中确切地定位了源位置和活动分布。然后,我们开发了一个设想的实验设置的模拟模型,该模型准确地描述了源在2D中的活性和位置。最后,我们将模型扩展到了系统的离散的三维模型,包括36个检测器。对于四个不同源几何形状的3D仿真,该模型将源位置精确定位在3D中,而活动保留的最大相对误差为 +-5.32%。

Nuclear material deposited in equipment, transfer lines, and ventilation systems of a processing facility is usually referred to as holdup. In this work, we propose to use an array of detectors co-axial to the inspected pipe to measure the holdup material. This method is implementable into an automated system capable of crawling on surfaces and pipes of various curvatures, which would enable faster, easier, and more accurate holdup safeguards measurements. We first demonstrated that the current holdup assay procedure could lead to a non-negligible bias in the estimate of special nuclear material mass, due to the simplified assumption of deposited geometry introduced by the Generalized Geometry Holdup (GGH) model. The new approach consists of imaging the inner holdup material by characterizing the detector array's response and unfolding it from the measured light output. Our experimental proof of principle consists of three NaI(Tl) detectors surrounding an aluminum pipe containing two cesium-137( 137Cs) sources. We derived the source distribution inside the pipe by first calculating the detector response matrix using a method adaptive to the surface geometry of the object containing the measured holdup material. Creating a matrix of the detector array's measured counts, we then proceed to solve an inverse problem, resulting in an accurately located source position and activity distribution within the response matrix's spatial resolution. We then developed a simulated model of the envisioned experimental setup, which accurately described both the activity and position of the source in 2D. Finally, we extended our model onto a discretized three-dimensional model of the system, encompassing 36 detectors. For the 3D simulation of four different source geometries, the model accurately localized the source position in 3D, while the activity retained a maximum relative error of +-5.32%.

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